The high resolution vector quantization problem with Orlicz norm distortion
From MaRDI portal
Publication:548163
DOI10.1007/s10959-010-0327-2zbMath1219.94070arXiv1010.4248OpenAlexW2108912210MaRDI QIDQ548163
Steffen Dereich, Christian Vormoor
Publication date: 28 June 2011
Published in: Journal of Theoretical Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.4248
Related Items (7)
Constructive quantization: approximation by empirical measures ⋮ Nonlinear pricing with finite information ⋮ Asymptotics of one-dimensional Lévy approximations ⋮ Best finite constrained approximations of one-dimensional probabilities ⋮ On the complexity of computing quadrature formulas for marginal distributions of SDEs ⋮ Error bounds for high-resolution quantization with Rényi-\(\alpha\)-entropy constraints ⋮ Best finite approximations of Benford's law
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the link between small ball probabilities and the quantization problem for Gaussian measures on Banach spaces
- Optimum quantization and its applications
- Sharp asymptotics of the functional quantization problem for Gaussian processes.
- Foundations of quantization for probability distributions
- Quantization of probability distributions under norm-based distortion measures
- Two results on the asymptotic performance of quantizers
- Asymptotic quantization error of continuous signals and the quantization dimension
- Multidimensional asymptotic quantization theory with<tex>r</tex>th power distortion measures
- Asymptotically optimal block quantization
- Quantization
- Asymptotic quantizing error for unbounded random variables (Corresp.)
- Convex Analysis
This page was built for publication: The high resolution vector quantization problem with Orlicz norm distortion
